Expedia Hotels MCP Server for Pydantic AI 10 tools — connect in under 2 minutes

Name: Expedia Hotels
Availability: InStock
Author: Vinkius

ai.pydantic.dev/mcp

Built by Vinkius GDPR 10 Tools SDK

Pydantic AI brings type-safe agent development to Python with first-class MCP support. Connect Expedia Hotels through Vinkius and every tool is automatically validated against Pydantic schemas. catch errors at build time, not in production.

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python

import asyncio
from pydantic_ai import Agent
from pydantic_ai.mcp import MCPServerHTTP

async def main():
    # Your Vinkius token. get it at cloud.vinkius.com
    server = MCPServerHTTP(url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp")

    agent = Agent(
        model="openai:gpt-4o",
        mcp_servers=[server],
        system_prompt=(
            "You are an assistant with access to Expedia Hotels "
            "(10 tools)."
        ),
    )

    result = await agent.run(
        "What tools are available in Expedia Hotels?"
    )
    print(result.data)

asyncio.run(main())

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About Expedia Hotels MCP Server

Connect Expedia Hotels to any AI agent via MCP.

How to Connect Expedia Hotels to Pydantic AI via MCP

Follow these steps to integrate the Expedia Hotels MCP Server with Pydantic AI.

Install Pydantic AI

Run pip install pydantic-ai

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

Run the agent

Save to agent.py and run: python agent.py

Explore tools

The agent discovers 10 tools from Expedia Hotels with type-safe schemas

Why Use Pydantic AI with the Expedia Hotels MCP Server

Pydantic AI provides unique advantages when paired with Expedia Hotels through the Model Context Protocol.

Full type safety: every MCP tool response is validated against Pydantic models, catching data inconsistencies before they reach your application

Model-agnostic architecture. switch between OpenAI, Anthropic, or Gemini without changing your Expedia Hotels integration code

Structured output guarantee: Pydantic AI ensures tool results conform to defined schemas, eliminating runtime type errors

Dependency injection system cleanly separates your Expedia Hotels connection logic from agent behavior for testable, maintainable code

Expedia Hotels + Pydantic AI Use Cases

Practical scenarios where Pydantic AI combined with the Expedia Hotels MCP Server delivers measurable value.

Type-safe data pipelines: query Expedia Hotels with guaranteed response schemas, feeding validated data into downstream processing

API orchestration: chain multiple Expedia Hotels tool calls with Pydantic validation at each step to ensure data integrity end-to-end

Production monitoring: build validated alert agents that query Expedia Hotels and output structured, schema-compliant notifications

Testing and QA: use Pydantic AI's dependency injection to mock Expedia Hotels responses and write comprehensive agent tests

Expedia Hotels MCP Tools for Pydantic AI (10)

These 10 tools become available when you connect Expedia Hotels to Pydantic AI via MCP:

book_hotel

This is a write action that results in an actual reservation. Required fields: property_id, check_in_date, check_out_date, room_id, rate_plan_id, guest first name, last name, and email. The room_id and rate_plan_id should be obtained from the check_availability or get_rate_plans tools. Include billing address and special requests if the user provides them. On success, returns an itinerary ID that can be used to retrieve or cancel the booking. ALWAYS confirm booking details with the user before executing this action. Book a hotel reservation through Expedia EAN

cancel_itinerary

This is a write action that modifies a real reservation. Whether a refund is available depends on the cancellation policy of the specific rate plan that was booked. Some rate plans are non-refundable. ALWAYS confirm the cancellation with the user and inform them of the applicable cancellation policy before executing this action. Returns the updated itinerary with cancellation status and any refund details. Cancel a hotel booking by itinerary ID

check_availability

Returns available room types, bed configurations, occupancy limits, cancellation policies, and pricing. Use this after a user has identified a hotel of interest to see what rooms are available for their desired stay dates. Required: property_id, check_in_date, check_out_date. Check room availability for a specific hotel property

check_price_match

This is part of Expedia's price match guarantee program. Required: property_id, check_in_date, check_out_date, competitor_url (URL where the lower price was found), and competitor_price (the lower price amount). Returns the price match result including whether the match was approved, the adjusted price if applicable, and any refund or credit details. Check if a hotel price matches a competitor's price

get_hotel_details

Returns property name, full address, phone number, star rating, guest rating, detailed descriptions, amenities list, policies (check-in/out times, pet policy, etc.), nearby attractions, and images. Use this to present rich hotel details to the user before they make a booking decision. Get detailed information about a specific hotel property

get_hotel_images

Returns image URLs in various categories (exterior, lobby, room, bathroom, pool, restaurant, etc.), along with image descriptions, captions, and subject IDs. Use this to display hotel photos to the user when browsing or presenting hotel details. Images are available in multiple sizes — the response includes URLs for each size variant. Get all images for a specific hotel property

get_itinerary

Returns booking status (confirmed, cancelled), property details, room information, check-in/check-out dates, guest details, total price paid, cancellation policy, and booking timestamps. Use this to check the status of a booking or to present booking confirmation details to the user. Get details of a hotel booking by itinerary ID

get_rate_plans

This includes standard rates, member-only deals, package rates, non-refundable options, and promotional pricing. Each rate plan includes details on meal plans (room only, breakfast included), cancellation policies, payment types (pay now vs pay at property), and total pricing. Use this to compare pricing options and present the best deals to the user. Get rate plans and pricing options for a hotel property

search_hotels

Use this to find hotels by destination region ID, check-in and check-out dates, number of rooms and guests. You can filter by amenities, price range, star rating, guest rating, and property type. The region ID can be obtained using the search_regions tool. Always provide check-in and check-out dates in ISO format (YYYY-MM-DD). Results include property IDs, names, locations, star ratings, and pricing information. Search for hotels using the Expedia EAN API

search_regions

This is the first step in a hotel search — you need a region_id to search for hotels. For example, searching for "Paris" returns the city region, specific neighborhoods, and nearby airports. Use this to help the user identify the correct destination before performing a hotel search. Returns region IDs, names, types, and hierarchy info. Search for destination regions by name

Troubleshooting Expedia Hotels MCP Server with Pydantic AI

Common issues when connecting Expedia Hotels to Pydantic AI through the Vinkius, and how to resolve them.

MCPServerHTTP not found

Update: pip install --upgrade pydantic-ai

Expedia Hotels + Pydantic AI FAQ

Common questions about integrating Expedia Hotels MCP Server with Pydantic AI.

How does Pydantic AI discover MCP tools?

Create an MCPServerHTTP instance with the server URL. Pydantic AI connects, discovers all tools, and generates typed Python interfaces automatically.

Does Pydantic AI validate MCP tool responses?

Yes. When you define result types as Pydantic models, every tool response is validated against the schema. Invalid data raises a clear error instead of silently corrupting your pipeline.

Can I switch LLM providers without changing MCP code?

Absolutely. Pydantic AI abstracts the model layer. your Expedia Hotels MCP integration works identically with OpenAI, Anthropic, Google, or any supported provider.